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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
jglaser | null | @InProceedings{huggingface:dataset,
title = {jglaser/protein_ligand_contacts},
author={Jens Glaser, ORNL
},
year={2022}
} | A dataset to fine-tune language models on protein-ligand binding affinity and contact prediction. | false | 2 | false | jglaser/protein_ligand_contacts | 2022-03-15T21:17:32.000Z | null | false | 67f9dbf9e17ada0dcdc47e05ad9b37ed01f8e82f | [] | [
"tags:molecules",
"tags:chemistry",
"tags:SMILES"
] | https://huggingface.co/datasets/jglaser/protein_ligand_contacts/resolve/main/README.md | ---
tags:
- molecules
- chemistry
- SMILES
---
## How to use the data sets
This dataset contains more than 16,000 unique pairs of protein sequences and ligand SMILES with experimentally determined
binding affinities and protein-ligand contacts (ligand atom/SMILES token vs. Calpha within 5 Angstrom). These
are represe... |
ctheodoris | null | null | null | false | 1 | false | ctheodoris/Genecorpus-30M | 2022-09-28T00:14:01.000Z | null | false | 440e8b1455d5d1268dfd2f7ec9fd2bfa4148e73c | [] | [] | https://huggingface.co/datasets/ctheodoris/Genecorpus-30M/resolve/main/README.md | # Dataset Card for Genecorpus-30M
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks)
- [Species](#species)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-ins... |
SetFit | null | null | null | false | 1 | false | SetFit/catalonia_independence_ca | 2022-03-13T09:10:29.000Z | null | false | 9d24e08b068f24f80d9b3679e3806fe1c1be8fb3 | [] | [] | https://huggingface.co/datasets/SetFit/catalonia_independence_ca/resolve/main/README.md | #catalonian independence tweet dataset
This dataset is a port of the official ['catalonia_independence' dataset] (https://huggingface.co/datasets/catalonia_independence) on the Hub. It has just the Catalan language version. |
SetFit | null | null | null | false | 1 | false | SetFit/catalonia_independence_es | 2022-03-13T09:11:31.000Z | null | false | 4d0ae2a3df2769cd4eff981ae8184b9fd72b0798 | [] | [] | https://huggingface.co/datasets/SetFit/catalonia_independence_es/resolve/main/README.md | #catalonian independence tweet dataset
This dataset is a port of the official ['catalonia_independence' dataset] (https://huggingface.co/datasets/catalonia_independence) on the Hub. It has just the Spanish language version. |
SetFit | null | null | null | false | 1 | false | SetFit/xglue_nc | 2022-03-14T03:27:58.000Z | null | false | 7fa32cf76b45dceb224903152c34dfa13718dfb2 | [] | [] | https://huggingface.co/datasets/SetFit/xglue_nc/resolve/main/README.md | #xglue nc
This dataset is a port of the official ['xglue' dataset] (https://huggingface.co/datasets/xglue) on the Hub. It has just the news category classification section. It has been reduced to just 3 columns (plus text label) that are relevant to the SetFit task. Validation and test in English, Spanish, French, Rus... |
SetFit | null | null | null | false | 9 | false | SetFit/amazon_reviews_multi_de | 2022-03-23T15:34:53.000Z | null | false | bb25d49f17c86f7affb193c18e0511afcd51b933 | [] | [] | https://huggingface.co/datasets/SetFit/amazon_reviews_multi_de/resolve/main/README.md | #amazon reviews multi german
This dataset is a port of the official ['amazon_reviews_multi' dataset] (https://huggingface.co/datasets/amazon_reviews_multi) on the Hub. It has just the German language version. It has been reduced to just 3 columns (and 4th "label_text") that are relevant to the SetFit task. |
SetFit | null | null | null | false | 7 | false | SetFit/amazon_reviews_multi_es | 2022-03-23T15:43:09.000Z | null | false | 16015418b488c9186fce74b058877ea939ca934d | [] | [] | https://huggingface.co/datasets/SetFit/amazon_reviews_multi_es/resolve/main/README.md | #amazon reviews multi spanish
This dataset is a port of the official ['amazon_reviews_multi' dataset] (https://huggingface.co/datasets/amazon_reviews_multi) on the Hub. It has just the Spanish language version. It has been reduced to just 3 columns (and 4th "label_text") that are relevant to the SetFit task. |
SetFit | null | null | null | false | 7 | false | SetFit/amazon_reviews_multi_ja | 2022-03-23T15:40:06.000Z | null | false | 77676678b2e9e03265aae02823ba2f77b531d11a | [] | [] | https://huggingface.co/datasets/SetFit/amazon_reviews_multi_ja/resolve/main/README.md | #amazon reviews multi japanese
This dataset is a port of the official ['amazon_reviews_multi' dataset] (https://huggingface.co/datasets/amazon_reviews_multi) on the Hub. It has just the Japanese language version. It has been reduced to just 3 columns (and 4th "label_text") that are relevant to the SetFit task. |
SetFit | null | null | null | false | 13 | false | SetFit/amazon_reviews_multi_zh | 2022-03-23T15:30:49.000Z | null | false | 184ac90d5511a7f6801cba99688892f440ece660 | [] | [] | https://huggingface.co/datasets/SetFit/amazon_reviews_multi_zh/resolve/main/README.md | #amazon reviews multi chinese
This dataset is a port of the official ['amazon_reviews_multi' dataset] (https://huggingface.co/datasets/amazon_reviews_multi) on the Hub. It has just the Chinese language version. It has been reduced to just 3 columns (and 4th "label_text") that are relevant to the SetFit task. |
SetFit | null | null | null | false | 7 | false | SetFit/amazon_reviews_multi_fr | 2022-03-23T15:45:44.000Z | null | false | 3a43b31171a667fb0bb7a298e143fd022266f78b | [] | [] | https://huggingface.co/datasets/SetFit/amazon_reviews_multi_fr/resolve/main/README.md | #amazon reviews multi french
This dataset is a port of the official ['amazon_reviews_multi' dataset] (https://huggingface.co/datasets/amazon_reviews_multi) on the Hub. It has just the French language version. It has been reduced to just 3 columns (and 4th "label_text") that are relevant to the SetFit task. |
multiIR | null | null | null | false | 1 | false | multiIR/toy_data | 2022-03-14T10:33:27.000Z | null | false | 7c9a79666d13e6d27ee74279fccdca11decbfb5d | [] | [] | https://huggingface.co/datasets/multiIR/toy_data/resolve/main/README.md | #toy dataset
This is a small portion of the full dataset, used for testing and formatting purposes.
|
rocca | null | null | null | false | 1 | false | rocca/top-reddit-posts | 2022-03-23T05:16:33.000Z | null | false | f9dd0d78228c6840ae9d97ffb7b8d6dfbbbc8634 | [] | [
"license:mit"
] | https://huggingface.co/datasets/rocca/top-reddit-posts/resolve/main/README.md | ---
license: mit
---
The `post-data-by-subreddit.tar` file contains 5000 gzipped json files - one for each of the top 5000 subreddits (as roughly measured by subscriber count and comment activity). Each of those json files (e.g. `askreddit.json`) contains an array of the data for the top 1000 posts of all time.
... |
carbon12 | null | false | 1 | false | carbon12/evaluating_student_writing | 2022-03-13T13:03:06.000Z | null | false | dd5650eb094112f8913c5c9f907e43008aeb52cf | [] | [] | https://huggingface.co/datasets/carbon12/evaluating_student_writing/resolve/main/README.md | From the Evaluating Student Writing Kaggle competition. | ||
gj1997 | null | null | null | false | 1 | false | gj1997/trial2 | 2022-03-13T09:03:58.000Z | null | false | c54df84f9a7566184d83c75d208a97e5aa5a77d3 | [] | [] | https://huggingface.co/datasets/gj1997/trial2/resolve/main/README.md | |
Parmann | null | null | null | false | 1 | false | Parmann/speech_classification | 2022-03-13T08:32:04.000Z | null | false | 749b7eac6d013c77d95ba1b744bb88ac436ca48b | [] | [] | https://huggingface.co/datasets/Parmann/speech_classification/resolve/main/README.md | This dataset contains MFCC feature extracted for 646 short speech audios |
stjokerli | null | null | null | false | 1 | false | stjokerli/TextToText_axg_seqio | 2022-04-04T10:24:18.000Z | null | false | 088baa7f2aa235290fb8a35850cee1e70bd5ce25 | [] | [] | https://huggingface.co/datasets/stjokerli/TextToText_axg_seqio/resolve/main/README.md | # text-to-text format from superglue axg
# Note that RTE train and val set has been added
axg: DatasetDict({
test: Dataset({
features: ['idx', 'inputs', 'targets'],
num_rows: 356
})
train: Dataset({
features: ['idx', 'inputs', 'targets'],
num_row... |
stjokerli | null | null | null | false | 2 | false | stjokerli/TextToText_axb_seqio | 2022-04-04T10:25:39.000Z | null | false | aa9340e5512f9d1c196b34645346db83107a0cd3 | [] | [] | https://huggingface.co/datasets/stjokerli/TextToText_axb_seqio/resolve/main/README.md | axb: DatasetDict({
test: Dataset({
features: ['idx', 'inputs', 'targets'],
num_rows: 1104
})
train: Dataset({
features: ['idx', 'inputs', 'targets'],
num_rows: 2490
})
validation: Dataset({
features: ['idx', 'inputs', 't... |
joypersicanon | null | null | null | false | 1 | false | joypersicanon/ph-en-text | 2022-03-17T13:30:52.000Z | null | false | 4dc1c8da193d078c788bccf7eebbc301c754b121 | [] | [] | https://huggingface.co/datasets/joypersicanon/ph-en-text/resolve/main/README.md | [Needs More Information]
# Dataset Card for ph-en-text
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances... |
lewtun | null | @dataset{kasieczka_gregor_2019_2603256,
author = {Kasieczka, Gregor and
Plehn, Tilman and
Thompson, Jennifer and
Russel, Michael},
title = {Top Quark Tagging Reference Dataset},
month = mar,
year = 2019,
publisher = {Zenodo},... | Top Quark Tagging is a dataset of Monte Carlo simulated hadronic top and QCD dijet events for the evaluation of top quark tagging architectures. The dataset consists of 1.2M training events, 400k validation events and 400k test events. | false | 1 | false | lewtun/top_quark_tagging | 2022-04-03T14:26:05.000Z | null | false | cc60812b3dc5abb00043962616195c023c7c27a2 | [] | [
"license:cc-by-4.0"
] | https://huggingface.co/datasets/lewtun/top_quark_tagging/resolve/main/README.md | ---
license: cc-by-4.0
---
# Top Quark Tagging Reference Dataset
A set of MC simulated training/testing events for the evaluation of top quark tagging architectures.
In total 1.2M training events, 400k validation events and 400k test events. Use “train” for training, “val” for validation during the training ... |
wanyu | null | null | null | false | 181 | false | wanyu/IteraTeR_full_sent | 2022-10-24T18:58:37.000Z | null | false | 845aaad797f618d1f8c9b42c3cb5919f0becdb2a | [] | [
"arxiv:2203.03802",
"annotations_creators:crowdsourced",
"language_creators:found",
"language:en",
"license:apache-2.0",
"multilinguality:monolingual",
"source_datasets:original",
"task_categories:text2text-generation",
"language_bcp47:en-US",
"tags:conditional-text-generation",
"tags:text-editi... | https://huggingface.co/datasets/wanyu/IteraTeR_full_sent/resolve/main/README.md | ---
annotations_creators:
- crowdsourced
language_creators:
- found
language:
- en
license:
- apache-2.0
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text2text-generation
task_ids: []
pretty_name: IteraTeR_full_sent
language_bcp47:
- en-US
tags:
- conditional-text-generation
- text-edit... |
wanyu | null | null | null | false | 6 | false | wanyu/IteraTeR_full_doc | 2022-10-24T18:58:30.000Z | null | false | 792d5310cc82446cccfd3cd8953893b831538976 | [] | [
"arxiv:2203.03802",
"annotations_creators:crowdsourced",
"language_creators:found",
"language:en",
"license:apache-2.0",
"multilinguality:monolingual",
"source_datasets:original",
"task_categories:text2text-generation",
"language_bcp47:en-US",
"tags:conditional-text-generation",
"tags:text-editi... | https://huggingface.co/datasets/wanyu/IteraTeR_full_doc/resolve/main/README.md | ---
annotations_creators:
- crowdsourced
language_creators:
- found
language:
- en
license:
- apache-2.0
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text2text-generation
task_ids: []
pretty_name: IteraTeR_full_doc
language_bcp47:
- en-US
tags:
- conditional-text-generation
- text-editi... |
wanyu | null | null | null | false | 235 | false | wanyu/IteraTeR_human_sent | 2022-10-24T18:58:22.000Z | null | false | e22e0371dac444239b944f9293f5b491d62b73f0 | [] | [
"arxiv:2203.03802",
"annotations_creators:crowdsourced",
"language_creators:found",
"language:en",
"license:apache-2.0",
"multilinguality:monolingual",
"source_datasets:original",
"task_categories:text2text-generation",
"language_bcp47:en-US",
"tags:conditional-text-generation",
"tags:text-editi... | https://huggingface.co/datasets/wanyu/IteraTeR_human_sent/resolve/main/README.md | ---
annotations_creators:
- crowdsourced
language_creators:
- found
language:
- en
license:
- apache-2.0
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text2text-generation
task_ids: []
pretty_name: IteraTeR_human_sent
language_bcp47:
- en-US
tags:
- conditional-text-generation
- text-edi... |
wanyu | null | null | null | false | 3 | false | wanyu/IteraTeR_human_doc | 2022-10-24T18:58:15.000Z | null | false | 3b0bdabb090d04062ebc17e54ac889a64f5cb791 | [] | [
"arxiv:2203.03802",
"annotations_creators:crowdsourced",
"language_creators:found",
"language:en",
"license:apache-2.0",
"multilinguality:monolingual",
"source_datasets:original",
"task_categories:text2text-generation",
"language_bcp47:en-US",
"tags:conditional-text-generation",
"tags:text-editi... | https://huggingface.co/datasets/wanyu/IteraTeR_human_doc/resolve/main/README.md | ---
annotations_creators:
- crowdsourced
language_creators:
- found
language:
- en
license:
- apache-2.0
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text2text-generation
task_ids: []
pretty_name: IteraTeR-human-doc
language_bcp47:
- en-US
tags:
- conditional-text-generation
- text-edit... |
Aclairs | null | null | null | false | 1 | false | Aclairs/ALBERTFINALYEAR | 2022-03-14T05:56:07.000Z | null | false | 1a2b7bc94feea59665740ea295e504c41b8f9c39 | [] | [] | https://huggingface.co/datasets/Aclairs/ALBERTFINALYEAR/resolve/main/README.md | ---
{}
---
# AutoNLP Dataset for project: ALBERTFINALYEAR
## Table of content
- [Dataset Description](#dataset-description)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
## Dataset Descritp... |
alkzzz | null | null | null | false | 1 | false | alkzzz/palui | 2022-03-14T07:32:35.000Z | null | false | bb60660d157a96f5beae964140c7f52c11c5c3f5 | [] | [
"license:cc-by-4.0"
] | https://huggingface.co/datasets/alkzzz/palui/resolve/main/README.md | ---
license: cc-by-4.0
---
|
GEM-submissions | null | null | null | false | 1 | false | GEM-submissions/lewtun__this-is-a-test__1647246406 | 2022-03-14T08:26:51.000Z | null | false | e0536f5bfc7c35bb62f104bb2400c2b36b6029ef | [] | [
"benchmark:gem",
"type:prediction",
"submission_name:This is a test",
"tags:evaluation",
"tags:benchmark"
] | https://huggingface.co/datasets/GEM-submissions/lewtun__this-is-a-test__1647246406/resolve/main/README.md | ---
benchmark: gem
type: prediction
submission_name: This is a test
tags:
- evaluation
- benchmark
---
# GEM Submission
Submission name: This is a test
|
GEM-submissions | null | null | null | false | 1 | false | GEM-submissions/lewtun__mt5_xl__1647246454 | 2022-03-14T08:27:39.000Z | null | false | 1d84bb9af6e19a7cd6860f4e3149f951e7c1c018 | [] | [
"benchmark:gem",
"type:prediction",
"submission_name:mT5_xl",
"tags:evaluation",
"tags:benchmark"
] | https://huggingface.co/datasets/GEM-submissions/lewtun__mt5_xl__1647246454/resolve/main/README.md | ---
benchmark: gem
type: prediction
submission_name: mT5_xl
tags:
- evaluation
- benchmark
---
# GEM Submission
Submission name: mT5_xl
|
ianomunga | null | null | null | false | 1 | false | ianomunga/MIAS | 2022-03-14T08:42:09.000Z | null | false | ba89cb938c0fe227ae23b6f7ef704a190f71e7de | [] | [
"license:cc-by-4.0"
] | https://huggingface.co/datasets/ianomunga/MIAS/resolve/main/README.md | ---
license: cc-by-4.0
---
|
GEM-submissions | null | null | null | false | 1 | false | GEM-submissions/lewtun__this-is-a-test__1647247409 | 2022-03-14T08:43:34.000Z | null | false | 2bd261e242dd6801c5bf27ed6dfbe28309ba0387 | [] | [
"benchmark:gem",
"type:prediction",
"submission_name:This is a test",
"tags:evaluation",
"tags:benchmark"
] | https://huggingface.co/datasets/GEM-submissions/lewtun__this-is-a-test__1647247409/resolve/main/README.md | ---
benchmark: gem
type: prediction
submission_name: This is a test
tags:
- evaluation
- benchmark
---
# GEM Submission
Submission name: This is a test
|
EMBO | null | null | null | false | 292 | false | EMBO/BLURB | 2022-10-20T19:09:53.000Z | null | false | efabbf522ab41dc053bfe2c17d1f0ac77d599307 | [] | [
"arxiv:2007.15779",
"arxiv:1909.06146",
"license:apache-2.0",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"language:en",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"task_categories:question-answering",
"task_categor... | https://huggingface.co/datasets/EMBO/BLURB/resolve/main/README.md | ---
license: apache-2.0
annotations_creators:
- expert-generated
language_creators:
- expert-generated
language:
- en
multilinguality:
- monolingual
paperswithcode_id: null
pretty_name: BLURB (Biomedical Language Understanding and Reasoning Benchmark.)
size_categories:
- 10K<n<100K
source_datasets:
- original
task_cate... |
GEM-submissions | null | null | null | false | 1 | false | GEM-submissions/lewtun__this-is-a-test__1647256250 | 2022-03-14T11:10:55.000Z | null | false | 2e7a18495a4a6b869d49c68c6def0bffc7e1135e | [] | [
"benchmark:gem",
"type:prediction",
"submission_name:This is a test",
"tags:evaluation",
"tags:benchmark"
] | https://huggingface.co/datasets/GEM-submissions/lewtun__this-is-a-test__1647256250/resolve/main/README.md | ---
benchmark: gem
type: prediction
submission_name: This is a test
tags:
- evaluation
- benchmark
---
# GEM Submission
Submission name: This is a test
|
null | null | @inproceedings{pasupat-liang-2015-compositional,
title = "Compositional Semantic Parsing on Semi-Structured Tables",
author = "Pasupat, Panupong and Liang, Percy",
booktitle = "Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference ... | This WikiTableQuestions dataset is a large-scale dataset for the task of question answering on semi-structured tables. | false | 326 | false | wikitablequestions | 2022-11-03T16:08:16.000Z | null | false | 871be3ea310c48a48f76afe0227ce1e76d36c4b2 | [] | [
"arxiv:1508.00305",
"annotations_creators:crowdsourced",
"language_creators:found",
"language:en",
"license:cc-by-4.0",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"task_categories:question-answering",
"tags:table-question-answering"
] | https://huggingface.co/datasets/wikitablequestions/resolve/main/README.md | ---
annotations_creators:
- crowdsourced
language_creators:
- found
language:
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
paperswithcode_id: null
pretty_name: WikiTableQuestions
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- question-answering
task_ids: []
tags:
- table-questi... |
gimmaru | null | null | null | false | 1 | false | gimmaru/github-issues | 2022-03-14T12:34:35.000Z | null | false | c7e25e94998cec32978b36ab5530ab74784d37dd | [] | [
"arxiv:2005.00614"
] | https://huggingface.co/datasets/gimmaru/github-issues/resolve/main/README.md | <!DOCTYPE html>
<html class="">
<head>
<meta charset="utf-8" />
<meta
name="viewport"
content="width=device-width, initial-scale=1.0, user-scalable=no"
/>
<meta name="description" content="We’re on a journey to advance and democratize artificial intelligence through open source and open science." />
<m... |
openclimatefix | null | @InProceedings{uk_pv,
title = {UK PV solar generation dataset},
author={Open Climate Fix.
},
year={2022}
} | # UK PV dataset
PV solar generation data from the UK.
This dataset contains dataa from 1311 PV systems from 2018-01-01 to 2021-10-27.
The time series of solar generation is in 5 minutes chunks.
This data is from collected from live PV systems in the UK. We have obfuscated the location of the pv systems for privacy... | false | 1 | false | openclimatefix/uk_pv | 2022-09-12T20:33:40.000Z | null | false | 3bfb06c6fa454ad282aaf417ea9b56b4c3fc348d | [] | [] | https://huggingface.co/datasets/openclimatefix/uk_pv/resolve/main/README.md | # UK PV dataset
PV solar generation data from the UK.
This dataset contains data from 1311 PV systems from 2018-01-01 to 2021-10-27.
The time series of solar generation is in 5 minutes chunks.
This data is collected from live PV systems in the UK. We have obfuscated the location of the PV systems for privacy.
If y... |
GEM-submissions | null | null | null | false | 1 | false | GEM-submissions/lewtun__this-is-a-test__1647263213 | 2022-03-14T13:06:58.000Z | null | false | 090cbc0841fe628b18037e73de742959bffaec77 | [] | [
"benchmark:gem",
"type:prediction",
"submission_name:This is a test",
"tags:evaluation",
"tags:benchmark"
] | https://huggingface.co/datasets/GEM-submissions/lewtun__this-is-a-test__1647263213/resolve/main/README.md | ---
benchmark: gem
type: prediction
submission_name: This is a test
tags:
- evaluation
- benchmark
---
# GEM Submission
Submission name: This is a test
|
marsyas | null | @misc{tzanetakis_essl_cook_2001,
author = "Tzanetakis, George and Essl, Georg and Cook, Perry",
title = "Automatic Musical Genre Classification Of Audio Signals",
url = "http://ismir2001.ismir.net/pdf/tzanetakis.pdf",
publisher = "The International Society for Music Information Retrieval",
year = "200... | GTZAN is a dataset for musical genre classification of audio signals. The dataset consists of 1,000 audio tracks, each of 30 seconds long. It contains 10 genres, each represented by 100 tracks. The tracks are all 22,050Hz Mono 16-bit audio files in WAV format. The genres are: blues, classical, country, disco, hiphop, j... | false | 34 | false | marsyas/gtzan | 2022-11-06T20:34:20.000Z | null | false | 7ea28ac19cd3ba9924de1940b9840be4f1419f8f | [] | [] | https://huggingface.co/datasets/marsyas/gtzan/resolve/main/README.md | ---
pretty_name: GTZAN
---
# Dataset Card for GTZAN
## Table of Contents
- [Dataset Card for GTZAN](#dataset-card-for-gtzan)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Languages](#languages)
- [Dataset Structure](#data... |
GEM | null | @inproceedings{perez2021models,
title={Models and Datasets for Cross-Lingual Summarisation},
author={Perez-Beltrachini, Laura and Lapata, Mirella},
booktitle={Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing},
pages={9408--9423},
year={2021}
} | The XWikis Corpus (Perez-Beltrachini and Lapata, 2021) provides datasets with different language pairs and directions for cross-lingual abstractive document summarisation. This current version includes four languages: English, German, French, and Czech. The dataset is derived from Wikipedia. It is based on the observat... | false | 267 | false | GEM/xwikis | 2022-11-04T23:20:08.000Z | null | false | 61d421611a79444616a68041d0889633547b088b | [] | [
"arxiv:2202.09583",
"annotations_creators:found",
"language_creators:unknown",
"language:de",
"language:en",
"language:fr",
"language:cs",
"license:cc-by-sa-4.0",
"multilinguality:unknown",
"size_categories:unknown",
"source_datasets:original",
"task_categories:summarization"
] | https://huggingface.co/datasets/GEM/xwikis/resolve/main/README.md | ---
annotations_creators:
- found
language_creators:
- unknown
language:
- de
- en
- fr
- cs
license:
- cc-by-sa-4.0
multilinguality:
- unknown
size_categories:
- unknown
source_datasets:
- original
task_categories:
- summarization
task_ids: []
pretty_name: xwikis
---
# Dataset Card for GEM/xwikis
## Dataset Descript... |
cgarciae | null | null | Cartoon Set is a collection of random, 2D cartoon avatar images. The cartoons vary in 10 artwork
categories, 4 color categories, and 4 proportion categories, with a total of ~1013 possible
combinations. We provide sets of 10k and 100k randomly chosen cartoons and labeled attributes. | false | 39 | false | cgarciae/cartoonset | 2022-03-23T19:12:10.000Z | null | false | 6e8665ced0dc6c8f274e1e496a2187b11fe0832d | [] | [
"arxiv:1711.05139",
"size_categories:10K<n<100K",
"license:cc-by-4.0"
] | https://huggingface.co/datasets/cgarciae/cartoonset/resolve/main/README.md | ---
pretty_name: Cartoon Set
size_categories:
- 10K<n<100K
task_categories:
- image
- computer-vision
- generative-modelling
license: cc-by-4.0
---
# Dataset Card for Cartoon Set
## Table of Contents
- [Dataset Card for Cartoon Set](#dataset-card-for-cartoon-set)
- [Table of Contents](#table-of-contents)... |
PradeepReddyThathireddy | null | null | null | false | 1 | false | PradeepReddyThathireddy/Inspiring_Content_Detection_Dataset | 2022-03-23T07:35:15.000Z | null | false | 9be08cd250913eb5d15f945d18aa485e01087d20 | [] | [] | https://huggingface.co/datasets/PradeepReddyThathireddy/Inspiring_Content_Detection_Dataset/resolve/main/README.md | |
null | null | @inproceedings{pradhan-etal-2013-towards,
title = "Towards Robust Linguistic Analysis using {O}nto{N}otes",
author = {Pradhan, Sameer and
Moschitti, Alessandro and
Xue, Nianwen and
Ng, Hwee Tou and
Bj{\"o}rkelund, Anders and
Uryupina, Olga and
Zhang, Yuchen and
Z... | OntoNotes v5.0 is the final version of OntoNotes corpus, and is a large-scale, multi-genre,
multilingual corpus manually annotated with syntactic, semantic and discourse information.
This dataset is the version of OntoNotes v5.0 extended and is used in the CoNLL-2012 shared task.
It includes v4 train/dev and v9 test d... | false | 916 | false | conll2012_ontonotesv5 | 2022-11-03T16:31:34.000Z | ontonotes-5-0 | false | 5f12f57d6b2d1f4e96fa6bcffae026313249d82f | [] | [
"annotations_creators:expert-generated",
"language_creators:found",
"language:ar",
"language:en",
"language:zh",
"license:cc-by-nc-nd-4.0",
"multilinguality:multilingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"task_categories:token-classification",
"task_ids:named-entity-rec... | https://huggingface.co/datasets/conll2012_ontonotesv5/resolve/main/README.md | ---
annotations_creators:
- expert-generated
language_creators:
- found
language:
- ar
- en
- zh
license:
- cc-by-nc-nd-4.0
multilinguality:
- multilingual
paperswithcode_id: ontonotes-5-0
pretty_name: CoNLL2012 shared task data based on OntoNotes 5.0
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categ... |
anjandash | null | null | null | false | 1 | false | anjandash/java-8m-methods-v2 | 2022-07-01T20:31:57.000Z | null | false | 6de5f4fa6a044e79302def646a39bf2be621dac4 | [] | [
"language:java",
"license:mit",
"multilinguality:monolingual"
] | https://huggingface.co/datasets/anjandash/java-8m-methods-v2/resolve/main/README.md | ---
language:
- java
license:
- mit
multilinguality:
- monolingual
pretty_name:
- java-8m-methods-v2
--- |
victor | null | null | null | false | 3 | false | victor/autonlp-data-tweet-sentiment | 2022-10-25T10:03:17.000Z | null | false | 80ce985b32bd618df18f86436893249c60add630 | [] | [
"language:en",
"task_categories:text-classification"
] | https://huggingface.co/datasets/victor/autonlp-data-tweet-sentiment/resolve/main/README.md | ---
language:
- en
task_categories:
- text-classification
---
# AutoNLP Dataset for project: tweet-sentiment
## Table of content
- [Dataset Description](#dataset-description)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
... |
hazal | null | null | null | false | 1 | false | hazal/Turkish-Biomedical-corpus-trM | 2022-08-10T11:13:22.000Z | null | false | 8990a6df925bf53cd9c864275703193cbfe85715 | [] | [
"language:tr"
] | https://huggingface.co/datasets/hazal/Turkish-Biomedical-corpus-trM/resolve/main/README.md | ---
language:
- tr
--- |
Dayyan | null | null | null | false | 1 | false | Dayyan/bwns | 2022-03-17T14:41:53.000Z | null | false | a6f9aa7bda62c328bd642d32316c63e3387210ec | [] | [] | https://huggingface.co/datasets/Dayyan/bwns/resolve/main/README.md | # BWNS: The Baha'i World News Service dataset.
BWNS articles from 2000 to 2022.
|
jorge-henao | null | null | null | false | 1 | false | jorge-henao/disco_poetry_spanish | 2022-03-17T03:19:06.000Z | null | false | 689f949a36ec83a2a6f14e1fc4a52cf22a704d56 | [] | [] | https://huggingface.co/datasets/jorge-henao/disco_poetry_spanish/resolve/main/README.md | # DISCO: Diachronic Spanish Sonnet Corpus
[](https://zenodo.org/badge/latestdoi/103841064)
The Diachronic Spanish Sonnet Corpus (DISCO) contains sonnets in Spanish in CSV, between the 15th and the 20th centuries (4303 sonnets by 1215 authors from 22 different countries). I... |
gcaillaut | null | null | English Wikipedia dataset for Entity Linking | false | 1 | false | gcaillaut/enwiki_el | 2022-07-04T12:36:35.000Z | null | false | fbeac939f336b47d75f06167cf339f6706fbafdc | [] | [
"annotations_creators:machine-generated",
"language:en-EN",
"license:wtfpl",
"multilinguality:monolingual",
"size_categories:unknown",
"source_datasets:original",
"task_categories:other"
] | https://huggingface.co/datasets/gcaillaut/enwiki_el/resolve/main/README.md | ---
annotations_creators:
- machine-generated
language_creators: []
language:
- en-EN
license:
- wtfpl
multilinguality:
- monolingual
pretty_name: test
size_categories:
- unknown
source_datasets:
- original
task_categories:
- other
task_ids: []
---
# Dataset Card for frwiki_good_pages_el
## Dataset Description
- Rep... |
crabz | null | null | null | false | 1 | false | crabz/stsb-sk | 2022-10-23T05:13:41.000Z | null | false | 1b1f1f2a456fc59a8c9260f800d7098a34183419 | [] | [
"annotations_creators:other",
"language_creators:other",
"language:sk",
"language_bcp47:sk-SK",
"license:unknown",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:extended|stsb_multi_mt",
"task_ids:semantic-similarity-scoring"
] | https://huggingface.co/datasets/crabz/stsb-sk/resolve/main/README.md | ---
annotations_creators:
- other
language_creators:
- other
language:
- sk
language_bcp47:
- sk-SK
license:
- unknown
multilinguality:
- monolingual
pretty_name: stsb-sk
size_categories:
- 1K<n<10K
source_datasets:
- extended|stsb_multi_mt
task_categories:
- text-scoring
task_ids:
- semantic-similarity-scoring
---
Re... |
voidful | null | null | null | false | 2 | false | voidful/NMSQA | 2022-10-25T15:07:49.000Z | null | false | 944856ecbb76416b4f41e561e780d1b68639c8b5 | [] | [
"arxiv:2203.04911",
"annotations_creators:crowdsourced",
"annotations_creators:machine-generated",
"language_creators:expert-generated",
"language_creators:machine-generated",
"language_creators:crowdsourced",
"language:en",
"multilinguality:monolingual",
"size_categories:unknown",
"source_dataset... | https://huggingface.co/datasets/voidful/NMSQA/resolve/main/README.md | ---
annotations_creators:
- crowdsourced
- machine-generated
language_creators:
- expert-generated
- machine-generated
- crowdsourced
language:
- en
license: []
multilinguality:
- monolingual
size_categories:
- unknown
source_datasets:
- original
task_categories:
- question-answering
- automatic-speech-recognition
task... |
LongNN | null | null | null | false | 2 | false | LongNN/news_sum | 2022-03-16T17:14:08.000Z | null | false | f2614cab4939062f7b9313470f297dbc7f26cf66 | [] | [
"license:gpl-3.0"
] | https://huggingface.co/datasets/LongNN/news_sum/resolve/main/README.md | ---
license: gpl-3.0
---
|
anthonny | null | null | null | false | 2 | false | anthonny/hate_speech | 2022-10-25T10:03:21.000Z | null | false | eed50a3535a938b051cb291cee7579376f7a7367 | [] | [
"annotations_creators:found",
"language_creators:crowdsourced",
"language:es-EC",
"license:unknown",
"multilinguality:monolingual",
"size_categories:unknown",
"source_datasets:original",
"task_categories:text-classification",
"task_ids:semantic-similarity-classification"
] | https://huggingface.co/datasets/anthonny/hate_speech/resolve/main/README.md | ---
annotations_creators:
- found
language_creators:
- crowdsourced
language:
- es-EC
license:
- unknown
multilinguality:
- monolingual
pretty_name: hate speech
size_categories:
- unknown
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- semantic-similarity-classification
--- |
umanlp | null | @InProceedings{huggingface:dataset,
title = {A great new dataset},
author={huggingface, Inc.
},
year={2020}
} | This new dataset is designed to solve this great NLP task and is crafted with a lot of care. | false | 6 | false | umanlp/xscitldr | 2022-07-04T13:49:25.000Z | null | false | 43aa565bcc88b801013e7a3882eee40713e7c725 | [] | [] | https://huggingface.co/datasets/umanlp/xscitldr/resolve/main/README.md | **X-SCITLDR**: Cross-Lingual Extreme Summarization of Scholarly Documents
# X-SCITLDR
The number of scientific publications nowadays is rapidly increasing, causing information overload for researchers and making it hard for scholars to keep up to date with current trends and lines of work. Consequently, recent work o... |
n6L3 | null | null | null | false | 1 | false | n6L3/kaggle | 2022-03-17T16:00:50.000Z | null | false | f5b8eff44796cdd3a3c9ebb77383051adae4abc7 | [] | [
"license:apache-2.0"
] | https://huggingface.co/datasets/n6L3/kaggle/resolve/main/README.md | ---
license: apache-2.0
---
kaggle datasets |
n6L3 | null | null | null | false | 1 | false | n6L3/nlp | 2022-07-24T05:58:39.000Z | null | false | 4d1d66c78bfe1ad870fb21f7e7837103b43c42c7 | [] | [] | https://huggingface.co/datasets/n6L3/nlp/resolve/main/README.md | - `tweet_disaster`, 8562 |
mrm8488 | null | null | null | false | 1 | false | mrm8488/test2 | 2022-03-17T18:40:22.000Z | null | false | 682cc4c36e60a556576b92370f918ed4513f9648 | [] | [
"license:wtfpl"
] | https://huggingface.co/datasets/mrm8488/test2/resolve/main/README.md | ---
license: wtfpl
---
|
Paulosdeanllons | null | null | null | false | 1 | false | Paulosdeanllons/ODS_BOE | 2022-03-23T13:52:31.000Z | null | false | adb147bd12398f9d56a652005f4895c6b7100ebe | [] | [
"license:afl-3.0"
] | https://huggingface.co/datasets/Paulosdeanllons/ODS_BOE/resolve/main/README.md | ---
license: afl-3.0
---
Texto perteneciente a todos los BOE (Boletin Oficial del Estado, España) desde 13 de enero del 2020 al 16 de febrero del 2022.
Separador '|'
Columnas: año | mes | dia | texto del BOE | tamaño | nombre pdf del BOE |
malteos | null | null | null | false | 1 | false | malteos/test-ds | 2022-10-25T10:03:23.000Z | null | false | 2e1dc06ac448fac1fe3c032a8919735353d80f58 | [] | [
"language:en-US",
"multilinguality:monolingual",
"size_categories:unknown",
"task_categories:text-retrieval"
] | https://huggingface.co/datasets/malteos/test-ds/resolve/main/README.md | ---
annotations_creators: []
language_creators: []
language:
- en-US
license: []
multilinguality:
- monolingual
pretty_name: test ds
size_categories:
- unknown
source_datasets: []
task_categories:
- text-retrieval
task_ids: []
---
# Dataset Card for [Dataset Name]
## Table of Contents
- [Table of Contents](#table-of-... |
malteos | null | null | null | false | 1 | false | malteos/test2 | 2022-10-23T05:14:36.000Z | cnn-daily-mail-1 | false | d62cc9c9bad06319b45ec81ba7d840fd1bc63894 | [] | [
"annotations_creators:no-annotation",
"language_creators:found",
"language:en",
"license:apache-2.0",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"task_ids:summarization"
] | https://huggingface.co/datasets/malteos/test2/resolve/main/README.md | ---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- en
license:
- apache-2.0
multilinguality:
- monolingual
size_categories:
- 100K<n<1M
source_datasets:
- original
task_categories:
- conditional-text-generation
task_ids:
- summarization
paperswithcode_id: cnn-daily-mail-1
pretty_name: CNN ... |
elena-soare | null | null | null | false | 1 | false | elena-soare/crawled-ecommerce | 2022-04-04T10:35:10.000Z | null | false | f7a3fbcdaec21897a76a04cf78ecd94149444327 | [] | [] | https://huggingface.co/datasets/elena-soare/crawled-ecommerce/resolve/main/README.md | This contains crawled ecommerce data from Common Crawl
|
cfilt | null | @inproceedings{bhattacharyya2010indowordnet,
title={IndoWordNet},
author={Bhattacharyya, Pushpak},
booktitle={Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)},
year={2010}
} | We provide the unique word list form the IndoWordnet (IWN) knowledge base. | false | 7 | false | cfilt/iwn_wordlists | 2022-07-30T12:24:42.000Z | plod-filtered | false | f7e4722dde8861cc0b120ef9ad56383cdd032aa7 | [] | [
"annotations_creators:Shivam Mhaskar, Diptesh Kanojia",
"language_creators:found",
"language:as",
"language:bn",
"language:mni",
"language:gu",
"language:hi",
"language:kn",
"language:ks",
"language:kok",
"language:ml",
"language:mr",
"language:or",
"language:ne",
"language:pa",
"langu... | https://huggingface.co/datasets/cfilt/iwn_wordlists/resolve/main/README.md | ---
annotations_creators:
- Shivam Mhaskar, Diptesh Kanojia
language_creators:
- found
language:
- as
- bn
- mni
- gu
- hi
- kn
- ks
- kok
- ml
- mr
- or
- ne
- pa
- sa
- ta
- te
- ur
license: "cc-by-nc-sa-4.0"
multilinguality:
- monolingual
paperswithcode_id: plod-filtered
pretty_name: 'PLOD: An Abbreviation Detectio... |
hackathon-pln-es | null | null | null | false | 1 | false | hackathon-pln-es/parallel-sentences | 2022-04-02T18:38:29.000Z | null | false | 329f8440b131659c97299b2a4cdf38779082e14f | [] | [] | https://huggingface.co/datasets/hackathon-pln-es/parallel-sentences/resolve/main/README.md | # Parallel Sentences for Spanish language
This repository contains parallel sentences (English + same sentences in Spanish language) in a simple tsv.gz format:
```
english_sentences\tsentence_in_spanish_language
```
## Usage
These sentences can be used to train multi-lingual sentence embedding models. For more detai... |
tomekkorbak | null | null | null | false | 1 | false | tomekkorbak/pile-curse-full | 2022-03-23T20:05:15.000Z | null | false | f888d2a1df5a5f11cde2832710cc0d9e59b3b132 | [] | [] | https://huggingface.co/datasets/tomekkorbak/pile-curse-full/resolve/main/README.md | ## Generation procedure
The dataset was constructed using documents from [the Pile](https://pile.eleuther.ai/) scored using [LDNOOBW](https://github.com/LDNOOBW/List-of-Dirty-Naughty-Obscene-and-Otherwise-Bad-Words) wordlist (a score is number of curses per character).
The procedure was the following:
1. The first h... |
scjnugacj | null | null | null | false | 1 | false | scjnugacj/scjn_dataset_ner | 2022-10-23T05:14:56.000Z | null | false | a545f06f697a5858d9d037d5807ab68218ea6f20 | [] | [
"annotations_creators:expert-generated",
"language_creators:other",
"language:es",
"license:cc-by-sa-4.0",
"multilinguality:monolingual",
"size_categories:unknown",
"source_datasets:original",
"task_ids:NER"
] | https://huggingface.co/datasets/scjnugacj/scjn_dataset_ner/resolve/main/README.md | ---
annotations_creators:
- expert-generated
language_creators:
- other
language:
- es
license:
- cc-by-sa-4.0
multilinguality:
- monolingual
pretty_name: Corpus SCJN NER
size_categories:
- unknown
source_datasets:
- original
task_categories:
- Token Classification
task_ids:
- NER
---
# Corpus SCJN NER, para el recono... |
yhavinga | null | Guillaume Wenzek, Marie-Anne Lachaux, Alexis Conneau, Vishrav Chaudhary, Francisco Guzmán, Armand Jouli and Edouard Grave, CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data | CCMatrix: Mining Billions of High-Quality Parallel Sentences on the WEB
We show that margin-based bitext mining in LASER's multilingual sentence space can be applied to
monolingual corpora of billions of sentences to produce high quality aligned translation data.
We use thirty-two snapshots of a curated common crawl c... | false | 485 | false | yhavinga/ccmatrix | 2022-10-25T07:29:18.000Z | ccmatrix | false | 944446b70b99e5b9bd6332f136def0d394934bda | [] | [
"arxiv:1911.04944",
"arxiv:1911.00359",
"arxiv:2010.11125",
"annotations_creators:found",
"language_creators:found",
"language:af",
"language:am",
"language:ar",
"language:ast",
"language:az",
"language:be",
"language:bg",
"language:bn",
"language:br",
"language:ca",
"language:ceb",
... | https://huggingface.co/datasets/yhavinga/ccmatrix/resolve/main/README.md | ---
annotations_creators:
- found
language_creators:
- found
language:
- af
- am
- ar
- ast
- az
- be
- bg
- bn
- br
- ca
- ceb
- cs
- cy
- da
- de
- el
- en
- eo
- es
- et
- eu
- fa
- fi
- fr
- fy
- ga
- gd
- gl
- ha
- he
- hi
- hr
- hu
- hy
- id
- ig
- ilo
- is
- it
- ja
- jv
- ka
- kk
- km
- ko
- la
- lb
- lg
- lt
-... |
IIC | null | null | null | false | 117 | false | IIC/spanish_biomedical_crawled_corpus | 2022-10-23T05:15:47.000Z | null | false | b19606594b960bdbca3edf4338b6deea02f2f933 | [] | [
"arxiv:2109.07765",
"annotations_creators:no-annotation",
"language_creators:crowdsourced",
"language:es",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"source_datasets:IIC/spanish_biomedical_crawled_corpus",
"task_ids:language-modeling"
] | https://huggingface.co/datasets/IIC/spanish_biomedical_crawled_corpus/resolve/main/README.md | ---
annotations_creators:
- no-annotation
language_creators:
- crowdsourced
language:
- es
multilinguality:
- monolingual
pretty_name: Spanish_Biomedical_Crawled_Corpus
size_categories:
- 1M<n<10M
source_datasets:
- IIC/spanish_biomedical_crawled_corpus
task_categories:
- sequence-modeling
task_ids:
- language-modeling... |
scjnugacj | null | null | null | false | 1 | false | scjnugacj/scjn_dataset_corpus_tesis | 2022-10-23T05:16:49.000Z | null | false | e7b906bc5a265ba97ca0b5c94ee4b49278d72070 | [] | [
"annotations_creators:expert-generated",
"language_creators:other",
"language:es",
"license:cc-by-sa-4.0",
"multilinguality:monolingual",
"size_categories:unknown",
"source_datasets:original"
] | https://huggingface.co/datasets/scjnugacj/scjn_dataset_corpus_tesis/resolve/main/README.md | ---
annotations_creators:
- expert-generated
language_creators:
- other
language:
- es
license:
- cc-by-sa-4.0
multilinguality:
- monolingual
pretty_name: Corpus tesis de la SCJN
size_categories:
- unknown
source_datasets:
- original
task_categories: []
task_ids: []
---
# Corpus tesis de la SCJN
En su primera versi... |
hackathon-pln-es | null | null | null | false | 1 | false | hackathon-pln-es/MESD | 2022-03-25T18:15:07.000Z | null | false | 24d41c732de80b4b883f8e279d484a6d4b5eb017 | [] | [
"license:cc-by-4.0",
"Duville, Mathilde Marie; Alonso-Valerdi, Luz Maria; Ibarra, David (2022), “Mexican Emotional Speech Database (MESD)”, Mendeley Data, V5, doi:10.17632/cy34mh68j9.5"
] | https://huggingface.co/datasets/hackathon-pln-es/MESD/resolve/main/README.md | ---
license: cc-by-4.0
Duville, Mathilde Marie; Alonso-Valerdi, Luz Maria; Ibarra, David (2022), “Mexican Emotional Speech Database (MESD)”, Mendeley Data, V5, doi: 10.17632/cy34mh68j9.5
---
# Dataset Card for MESD
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#... |
vinaykudari | null | null | null | false | 1 | false | vinaykudari/acled-token-summary | 2022-03-20T00:47:22.000Z | null | false | bc865c50d83a257b7458e3c97ad16533fb491287 | [] | [] | https://huggingface.co/datasets/vinaykudari/acled-token-summary/resolve/main/README.md | ACLED Dataset for Summarization Task - CSE635 (University at Buffalo)
Actor Description
- 0: N/A
- 1: State Forces
- 2: Rebel Groups
- 3: Political Militias
- 4: Identity Militias
- 5: Rioters
- 6: Protesters
- 7: Civilians
- 8: External/Other Forces |
IIC | null | null | null | false | 5 | false | IIC/lfqa_spanish | 2022-10-23T05:17:47.000Z | null | false | 885169fbef99505fb1c3f006b1cbde4656ec2a31 | [] | [
"annotations_creators:no-annotation",
"language_creators:crowdsourced",
"language:es",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:vblagoje/lfqa",
"source_datasets:vblagoje/lfqa_support_docs",
"task_ids:language-modeling"
] | https://huggingface.co/datasets/IIC/lfqa_spanish/resolve/main/README.md | ---
annotations_creators:
- no-annotation
language_creators:
- crowdsourced
language:
- es
multilinguality:
- monolingual
pretty_name: LFQA
size_categories:
- 100K<n<1M
source_datasets:
- vblagoje/lfqa
- vblagoje/lfqa_support_docs
task_categories:
- sequence-modeling
task_ids:
- language-modeling
---
This is an automa... |
TomTBT | null | null | The PMC Open Access Subset includes more than 3.4 million journal articles and preprints that are made available under
license terms that allow reuse.
Not all articles in PMC are available for text mining and other reuse, many have copyright protection, however articles
in the PMC Open Access Subset are made available... | false | 11 | false | TomTBT/pmc_open_access_xml | 2022-10-17T07:40:21.000Z | null | false | c7c0b81ed48155296b34b226ffb18a039b44a48c | [] | [
"task_categories:text-classification",
"task_categories:summarization",
"task_categories:other",
"annotations_creators:no-annotation",
"language_creators:expert-generated",
"language:en",
"size_categories:1M<n<10M",
"source_datasets:original",
"license:cc0-1.0",
"license:cc-by-4.0",
"license:cc-... | https://huggingface.co/datasets/TomTBT/pmc_open_access_xml/resolve/main/README.md | ---
pretty_name: XML-parsed PMC
task_categories:
- text-classification
- summarization
- other
annotations_creators:
- no-annotation
language_creators:
- expert-generated
language:
- en
size_categories:
- 1M<n<10M
source_datasets:
- original
license:
- cc0-1.0
- cc-by-4.0
- cc-by-sa-4.0
- cc-by-nc-4.0
- cc-by-nd-4.0
- ... |
Heriot-WattUniversity | null | null | null | false | 1 | false | Heriot-WattUniversity/CANDOR-corpus | 2022-03-20T13:02:29.000Z | null | false | 6e708f31c5214bfa48b5ad7551f6fa7a0de4117f | [] | [] | https://huggingface.co/datasets/Heriot-WattUniversity/CANDOR-corpus/resolve/main/README.md | # CANDOR Corpus
### CANDOR = Conversation: A Naturalistic Dataset of Online Recordings
The CANDOR corpus is a large, novel, multimodal corpus of 1,656 recorded conversations in spoken English. This 7+ million word, 850 hour corpus totals over 1TB of audio, video, and transcripts, with moment-to-moment measures of voc... |
Heriot-WattUniversity | null | null | null | false | 1 | false | Heriot-WattUniversity/bAbi-Plus | 2022-03-20T13:34:49.000Z | null | false | 867b8cdc3c1106ac586d8a9534bbc648e9a91514 | [] | [] | https://huggingface.co/datasets/Heriot-WattUniversity/bAbi-Plus/resolve/main/README.md | # bAbi+ corpus
**bAbi+** is an extension to the [bAbi corpus by Facebook AI](https://research.facebook.com/downloads/babi/) with some incremental phenomena of dialogue (such as self-corrections, pauses, restarts, etc.) added to it. It was first introduced by Shalyminov et al. (2017).
Some of the papers that have used... |
Heriot-WattUniversity | null | null | null | false | 1 | false | Heriot-WattUniversity/switchboard | 2022-03-20T13:39:57.000Z | null | false | 1ce244955f1c192e22c7de4c8f217ed3f34d0915 | [] | [] | https://huggingface.co/datasets/Heriot-WattUniversity/switchboard/resolve/main/README.md | # Switchboard
Switchboard is a collection of telephone conversations.
[[dataset link](https://catalog.ldc.upenn.edu/LDC97S62)] [[Papers with code link](https://paperswithcode.com/dataset/switchboard-1-corpus)] |
Heriot-WattUniversity | null | null | null | false | 4 | false | Heriot-WattUniversity/Groningen-Meaning-Bank | 2022-03-20T15:52:28.000Z | null | false | c3164425d06c94eecdfc2966dbd1aedf928a468d | [] | [] | https://huggingface.co/datasets/Heriot-WattUniversity/Groningen-Meaning-Bank/resolve/main/README.md | # Groningen Meaning Bank
[[Homepage](https://gmb.let.rug.nl/)] |
enimai | null | null | null | false | 6 | false | enimai/MuST-C-fr | 2022-08-30T15:24:53.000Z | null | false | bac8bbe1635bfb036c16bb54a0657467a2df727a | [] | [
"license:apache-2.0",
"language:en",
"language:fr"
] | https://huggingface.co/datasets/enimai/MuST-C-fr/resolve/main/README.md | ---
license: apache-2.0
language:
- en
- fr
---
|
dannyvas23 | null | null | null | false | 1 | false | dannyvas23/textosuicidios | 2022-03-21T00:03:08.000Z | null | false | 66cded2be5d5392e60f0d77f3d027413b84d1e4b | [] | [
"license:afl-3.0"
] | https://huggingface.co/datasets/dannyvas23/textosuicidios/resolve/main/README.md | ---
license: afl-3.0
---
|
dannyvas23 | null | null | null | false | 2 | false | dannyvas23/notas_suicidios | 2022-03-21T01:37:37.000Z | null | false | f024a61cb9987afe7063a0f35b90aa6a16385f3d | [] | [
"license:afl-3.0"
] | https://huggingface.co/datasets/dannyvas23/notas_suicidios/resolve/main/README.md | ---
license: afl-3.0
---
|
hazal | null | null | null | false | 1 | false | hazal/electronic-radiology-phd-thesis-trR | 2022-08-10T11:13:34.000Z | null | false | f362220b39c6518285689d2616dccaeb318d6970 | [] | [
"language:tr"
] | https://huggingface.co/datasets/hazal/electronic-radiology-phd-thesis-trR/resolve/main/README.md | ---
language:
- tr
--- |
jacobbieker | null | null | null | false | 1 | false | jacobbieker/hyperion-clouds | 2022-03-21T08:29:52.000Z | null | false | 7c4adc955c6443bff71d04af90a1037702bb801f | [] | [
"license:mit"
] | https://huggingface.co/datasets/jacobbieker/hyperion-clouds/resolve/main/README.md | ---
license: mit
---
|
null | null | @InProceedings{godahewa2021monash,
author = "Godahewa, Rakshitha and Bergmeir, Christoph and Webb, Geoffrey I. and Hyndman, Rob J. and Montero-Manso, Pablo",
title = "Monash Time Series Forecasting Archive",
booktitle = "Neural Information Processing Systems Track on Datasets and Benchmarks",
year = "20... | Monash Time Series Forecasting Repository which contains 30+ datasets of related time series for global forecasting research. This repository includes both real-world and competition time series datasets covering varied domains. | false | 171 | false | monash_tsf | 2022-11-03T15:51:00.000Z | null | false | 9982f1727d5c0a247a22b9e06c63b23fc6489464 | [] | [
"annotations_creators:no-annotation",
"language_creators:found",
"license:cc-by-4.0",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"task_categories:time-series-forecasting",
"task_ids:univariate-time-series-forecasting",
"task_ids:multivariate-time-series-fo... | https://huggingface.co/datasets/monash_tsf/resolve/main/README.md | ---
annotations_creators:
- no-annotation
language_creators:
- found
license:
- cc-by-4.0
multilinguality:
- monolingual
pretty_name: Monash Time Series Forecasting Repository
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- time-series-forecasting
task_ids:
- univariate-time-series-forecastin... |
xiongshunjie | null | null | null | false | 1 | false | xiongshunjie/ProDataset | 2022-03-21T11:30:20.000Z | null | false | cdf7be8e4e84152a48415aa0f86e11f222365f48 | [] | [
"license:apache-2.0"
] | https://huggingface.co/datasets/xiongshunjie/ProDataset/resolve/main/README.md | ---
license: apache-2.0
---
|
Cheltone | null | null | null | false | 1 | false | Cheltone/MyTwitter | 2022-03-21T14:51:28.000Z | null | false | ccd927007e794cf0a8794aee8482c6dec66ff6fb | [] | [] | https://huggingface.co/datasets/Cheltone/MyTwitter/resolve/main/README.md | Twitter 3.21 |
blo05 | null | null | null | false | 1 | false | blo05/cleaned_wiki_en | 2022-03-30T10:12:38.000Z | null | false | b6a5fc413080ac48e2ad89fb86a0e4f624ec02e3 | [] | [] | https://huggingface.co/datasets/blo05/cleaned_wiki_en/resolve/main/README.md | Cleaned wikipedia dataset |
fangyuan | null | @inproceedings{xu2022lfqadiscourse,
title = {How Do We Answer Complex Questions: Discourse Structure of Long-form Answers},
author = {Xu, Fangyuan and Li, Junyi Jessy and Choi, Eunsol},
year = 2022,
booktitle = {Proceedings of the Annual Meeting of the Association for Computational Linguistics},
n... | LFQA discourse contains discourse annotations of long-form answers.
- [VALIDITY]: Validity annotations of (question, answer) pairs.
- [ROLE]: Role annotations of valid answer paragraphs. | false | 1 | false | fangyuan/lfqa_discourse | 2022-07-01T15:29:22.000Z | null | false | 285237c06959f3e9e749f9533088083925ae761f | [] | [
"arxiv:2203.11048",
"annotations_creators:crowdsourced",
"annotations_creators:expert-generated",
"language_creators:machine-generated",
"language_creators:found",
"language:en-US",
"license:cc-by-sa-4.0",
"multilinguality:monolingual",
"size_categories:unknown",
"source_datasets:extended|natural_... | https://huggingface.co/datasets/fangyuan/lfqa_discourse/resolve/main/README.md | ---
annotations_creators:
- crowdsourced
- expert-generated
language_creators:
- machine-generated
- found
language:
- en-US
license:
- cc-by-sa-4.0
multilinguality:
- monolingual
pretty_name: lfqa_discourse
size_categories:
- unknown
source_datasets:
- extended|natural_questions
- extended|eli5
task_categories: []
tas... |
EALeon16 | null | null | null | false | 1 | false | EALeon16/autonlp-data-pruebapoems | 2022-10-25T10:03:29.000Z | null | false | b1cb0eb42393e09d5b9090c60a1f55d59273dbfb | [] | [
"language:es",
"task_categories:text-classification"
] | https://huggingface.co/datasets/EALeon16/autonlp-data-pruebapoems/resolve/main/README.md | ---
language:
- es
task_categories:
- text-classification
---
# AutoNLP Dataset for project: pruebapoems
## Dataset Descritpion
This dataset has been automatically processed by AutoNLP for project pruebapoems.
### Languages
The BCP-47 code for the dataset's language is es.
## Dataset Structure
### Data Instances
... |
hackathon-pln-es | null | null | null | false | 1 | false | hackathon-pln-es/comentarios_depresivos | 2022-04-01T01:40:06.000Z | null | false | dc52efd76d818fcd4d0a3b4cc1d6579486b92a0a | [] | [
"license:cc-by-sa-4.0"
] | https://huggingface.co/datasets/hackathon-pln-es/comentarios_depresivos/resolve/main/README.md |
---
license: cc-by-sa-4.0
---
La base de datos consta de una cantidad de 192 347 filas de datos para el entrenamiento, 33 944 para las pruebas y 22630 para la validación. Su contenido está compuesto por comentarios suicidas y comentarios normales de la red social Reddit traducidos al español, y obtenidos de la... |
hackathon-pln-es | null | null | null | false | 1 | false | hackathon-pln-es/poems-es | 2022-03-27T18:39:08.000Z | null | false | 1b7f73b6c66efd03e28c7f409895c878684675b5 | [] | [
"license:wtfpl"
] | https://huggingface.co/datasets/hackathon-pln-es/poems-es/resolve/main/README.md | ---
license: wtfpl
---
Dataset descargado de la página kaggle.com.
El archivo original contenía información en inglés y posteriormente fue traducida para su uso.
El dataset contiene las columnas:
- Autor: corresponde al autor del poema.
- Contenido: contiene todo el poema.
- Nombre del poema: contiene el título... |
IIC | null | null | null | false | 1 | false | IIC/bioasq22_es | 2022-10-23T05:18:18.000Z | null | false | bf9af8a68334b40d7daa9523cb47a116833f64c2 | [] | [
"annotations_creators:no-annotation",
"language_creators:crowdsourced",
"language:es",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:Helsinki-NLP/opus-mt-en-es",
"task_ids:language-modeling"
] | https://huggingface.co/datasets/IIC/bioasq22_es/resolve/main/README.md | ---
annotations_creators:
- no-annotation
language_creators:
- crowdsourced
language:
- es
multilinguality:
- monolingual
pretty_name: BIOASQ
size_categories:
- 100K<n<1M
source_datasets:
- Helsinki-NLP/opus-mt-en-es
task_categories:
- sequence-modeling
task_ids:
- language-modeling
---
# BIOASQ 2022 Spanish
This is a... |
nedroden | null | null | null | false | 1 | false | nedroden/nlcity | 2022-03-22T10:06:37.000Z | null | false | a231f6a9b437ed1527687e6ddf180c78978b9d78 | [] | [
"license:cc"
] | https://huggingface.co/datasets/nedroden/nlcity/resolve/main/README.md | ---
license: cc
---
|
archmagos | null | null | null | false | 1 | false | archmagos/HourAI-data | 2022-03-22T20:26:21.000Z | null | false | 45c0b11a67f833a92e8e04fbaa2577e1c9f75a63 | [] | [] | https://huggingface.co/datasets/archmagos/HourAI-data/resolve/main/README.md | #HourAI-data
Conversational data used to finetune HourAI
Parsed from: [omoito](https://dynasty-scans.com/series/omoito)
Added some testing conversations that looked ok as well. |
emrecan | null | null | null | false | 1 | false | emrecan/nli_tr_for_simcse | 2022-10-25T10:55:10.000Z | null | false | 976d9a18b30d4b77f6c12be552b8924903990794 | [] | [
"language:tr",
"size_categories:100K<n<1M",
"source_datasets:nli_tr",
"task_categories:text-classification",
"task_ids:semantic-similarity-scoring",
"task_ids:text-scoring"
] | https://huggingface.co/datasets/emrecan/nli_tr_for_simcse/resolve/main/README.md | ---
language:
- tr
size_categories:
- 100K<n<1M
source_datasets:
- nli_tr
task_categories:
- text-classification
task_ids:
- semantic-similarity-scoring
- text-scoring
---
# NLI-TR for Supervised SimCSE
This dataset is a modified version of [NLI-TR](https://huggingface.co/datasets/nli_tr) dataset. Its intended use is ... |
d0r1h | null | null | null | false | 1 | false | d0r1h/Real_vs_Fake | 2022-03-22T13:24:29.000Z | null | false | 3ced201c9bbc5d73918f0b66ec8e22f1a82a8eed | [] | [
"license:afl-3.0"
] | https://huggingface.co/datasets/d0r1h/Real_vs_Fake/resolve/main/README.md | ---
license: afl-3.0
---
|
Carlos89apc | null | null | null | false | 1 | false | Carlos89apc/TraductorES_Kichwa | 2022-03-22T14:04:09.000Z | null | false | a29926a4f351dd86b0df1e556a2fd28547ef596d | [] | [
"license:gpl"
] | https://huggingface.co/datasets/Carlos89apc/TraductorES_Kichwa/resolve/main/README.md | ---
license: gpl
---
|
sayalaruano | null | null | null | false | 1 | false | sayalaruano/FakeNewsCorpusSpanish | 2022-03-22T14:37:06.000Z | null | false | de49bc6dc80030d41ac50d2f3e981bbe78f51e47 | [] | [] | https://huggingface.co/datasets/sayalaruano/FakeNewsCorpusSpanish/resolve/main/README.md | # :newspaper: The Spanish Fake News Corpus
![... |
sayalaruano | null | null | null | false | 2 | false | sayalaruano/FakeNewsSpanish_Kaggle1 | 2022-03-22T14:59:40.000Z | null | false | 8a03d6240ada811ba3d603f813b91d3be4553764 | [] | [
"license:cc-by-nc-sa-4.0"
] | https://huggingface.co/datasets/sayalaruano/FakeNewsSpanish_Kaggle1/resolve/main/README.md | ---
license: cc-by-nc-sa-4.0
---
This dataset was obtained from: https://www.kaggle.com/datasets/arseniitretiakov/noticias-falsas-en-espaol
|
sayalaruano | null | null | null | false | 5 | false | sayalaruano/FakeNewsSpanish_Kaggle2 | 2022-03-22T15:02:43.000Z | null | false | 74fb40b34737bd14e40f2638ac00938243ec9ee3 | [] | [
"license:cc-by-nc-sa-4.0"
] | https://huggingface.co/datasets/sayalaruano/FakeNewsSpanish_Kaggle2/resolve/main/README.md | ---
license: cc-by-nc-sa-4.0
---
This dataset was obtained from: https://www.kaggle.com/datasets/zulanac/fake-and-real-news |
openclimatefix | null | @InProceedings{ocf:mrms,
title = {MRMS Archival Precipitation Rate Radar Dataset},
author={Jacob Bieker
},
year={2022}
} | This dataset consists of MRMS precipitation radar data for the continental United States,
sampled at a 1kmx1km area and 2-mimntely spatial resolution. | false | 82 | false | openclimatefix/mrms | 2022-06-22T13:39:35.000Z | null | false | 421b0fbcfc6b450bea2364de6ace4e965cd98c8b | [] | [] | https://huggingface.co/datasets/openclimatefix/mrms/resolve/main/README.md | annotations_creators:
- machine-generated
language_creators:
- machine-generated
languages: []
licenses:
- mit
multilinguality: []
pretty_name: Mutli-Radar/Multi-System Precipitation Radar
size_categories:
- 1M<n<10M
source_datasets:
- original
task_categories:
- time-series-forecasting
- image-classification
- image-s... |
erikacardenas300 | null | null | null | false | 1 | false | erikacardenas300/Zillow-Text-Listings | 2022-03-23T01:47:24.000Z | null | false | 4f92928b7f48c7f12925055498f2ed92ac042e06 | [] | [] | https://huggingface.co/datasets/erikacardenas300/Zillow-Text-Listings/resolve/main/README.md | Please cite: E. Cardenas., et al. “A Comparison of House Price Classification with Structured and Unstructured Text Data.” Published in AAAI FLAIRS-35. 2022. |
jullarson | null | null | null | false | 1 | false | jullarson/sdd | 2022-03-22T20:40:54.000Z | null | false | a9cee35c7531ae57045e920c657dfced4bbc93e6 | [] | [
"license:apache-2.0"
] | https://huggingface.co/datasets/jullarson/sdd/resolve/main/README.md | ---
license: apache-2.0
---
|
nreimers | null | null | null | false | 38 | false | nreimers/trec-covid | 2022-03-23T12:55:44.000Z | null | false | 549d7035f8df8bcd19d41ea355a4a775273b08e5 | [] | [] | https://huggingface.co/datasets/nreimers/trec-covid/resolve/main/README.md | This is the corpus file from the [BEIR benchmark](https://github.com/beir-cellar/beir) for the [TREC-COVID 19 dataset](https://ir.nist.gov/trec-covid/).
|
IsaacRodgz | null | null | null | false | 1 | false | IsaacRodgz/Fake-news-latam-omdena | 2022-03-23T00:20:36.000Z | null | false | e3e19a9a95b3464d2aa336ccf473b4d1cc7de76b | [] | [] | https://huggingface.co/datasets/IsaacRodgz/Fake-news-latam-omdena/resolve/main/README.md | # Dataset Card for Fake-news-latam-omdena
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dat... |
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